Lead Full-Stack Engineer (Python Data)

We are seeking a Lead Full-Stack Engineer (Python Data) to build scalable, data-centric products that support global consulting and advisory services. You will lead work across software engineering, data platforms and AI-assisted delivery, shaping systems for analytics, reporting and enterprise decision-making. Help us design cloud-native Azure solutions and robust pipelines—apply now!

Responsibilities

  • Design and deliver Python services and data pipelines using FastAPI and background jobs
  • Build and tune data processing and reporting components with Pandas, Polars, DuckDB and openpyxl
  • Develop end-to-end ETL/ELT workflows and connect them to analytics platforms
  • Work with orchestration tools such as Airflow, dbt and Streamlit
  • Define scalable data architectures using data lakes, medallion architecture and star schema
  • Contribute to Azure cloud-native implementations using Container Apps, Storage, Service Bus and SignalR
  • Implement and operate CI/CD pipelines using GitHub Actions
  • Apply Infrastructure as Code with Bicep, Terraform and CDK to automate environments
  • Leverage AI-assisted development tooling like GitHub Copilot and Claude in spec-driven workflows
  • Collaborate with engineering, data and business teams to deliver outcomes across domains

Requirements

  • 5+ years of experience with Python (FastAPI, data processing, backend services)
  • Hands-on experience with Pandas, Polars, DuckDB and Excel processing workflows
  • Solid background in data pipeline patterns such as ETL/ELT
  • Deep understanding of data modeling approaches including star schema and medallion architecture
  • Demonstrated ability to build distributed systems and design robust APIs
  • Practical experience across the Azure ecosystem (compute, storage, messaging)
  • Working knowledge of CI/CD and DevOps practices in production teams
  • Strong system design skills with excellent problem-solving ability
  • Consulting mindset with the ability to align multiple stakeholders and priorities
  • English proficiency at B2 (Upper-Intermediate) level or higher

Nice to have

  • Experience with Airflow, dbt and/or Streamlit in production settings
  • Knowledge of Snowflake features such as streams, tasks, time travel and stored procedures
  • Experience with event-driven architectures and messaging systems
  • Familiarity with .NET for legacy systems integration
  • Frontend exposure using Angular or Next.js
  • Experience with distributed processing and async workflows

Benefits

CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT

  • Diversity of assignments and projects
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses
  • English courses taught by certified teachers

CORPORATE BENEFITS

  • Extra leave days
  • Referral bonuses

COMPENSATION PACKAGE

  • Competitive compensation paid in USD
  • Regular salary and performance reviews

MEDICAL & HEALTHCARE

  • Private health insurance

WORKING ENVIRONMENT

  • Recreation office zones with tea, coffee and snacks
  • Sports and game consoles
  • IT equipment and Microsoft's Software Assurance Home Use Program (HUP)

See also

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